Purpose: Explore data at sub-daily temporal resolutions (e.g., 15-min and 1-hour time steps) and compare outputs to daily data.
Given that streamflow can change so quickly in small, headwater streams, are we missing a key part of the story by using flow data summarized as daily means? Using daily mean flow reduces the range of values, particularly at the upper end (i.e., high flows), and so we may be overlooking the g~G relationship at very high flows. (Note limited analysis of 15-min data as Montana and Wyoming data is collected at the hourly timescale).
Visualize 15-min and 1-hour data and note diversity in timing of peak flows during events; compare to daily data.
Use event pairing to explore the mean and variation in time lags between peak flows at Big G and little g’s; compare hourly and daily data
Fit basic wedge model to the 1-hour unaligned data…do the results change so much that we need to align time series when working with sub-daily data? Compare to daily data.
Explore use of dynamic time warping to align time series data
4.1 Data
4.1.1 Load data
Bring in site info and sub-daily data
Code
# site information and locationssiteinfo <-read_csv("C:/Users/jbaldock/OneDrive - DOI/Documents/USGS/EcoDrought/EcoDrought Working/Data/EcoDrought_SiteInformation.csv")siteinfo_sp <-st_as_sf(siteinfo, coords =c("long", "lat"), crs =4326)mapview(siteinfo_sp, zcol ="designation")